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1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 04 | Apr 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 3072
Self Monitoring System to Catch Unauthorized Activity
Akshay Dahifale1, Akash Kolhe2, Rohit Gawade3, Dr. Anand Khatri4
123Student, Dept. of Computer Engineering, Jaihind College of Engineering, Pune, Maharashtra, India
4Professor, Dept. of Computer Engineering, Jaihind College of Engineering, Pune, Maharashtra, India
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Abstract –There is a security system called self-monitoring
system "SMS". At the system call level, which monitors user
activity to track user usage as a forensic feature. SMS uses a
local compute grid to detect rogue activity in real time. The
proposed work is displayed using data mining techniques and
intrusion detection mechanisms. The number of hacking
incidents is increasing each year as new technologies are
developed. It implements a predefined algorithm for
identifying attacks on the internal network. Therefore, in this
project, we will propose a self-monitoring system that detects
insider attacks at the SC level by making full use of data
processing and forensic technology. The system can detectthe
user's data processing capabilities by analyzing the
corresponding SC to improve the accuracy of attack detection
and allow SMS detection to be ported with faster response
times.
1. INTRODUCTION
With the introduction of new technology, the
number of hacking and intrusionincidentsisincreasingatan
alarming rate each year. System Design Self-Monitoring
System It implements a predefined algorithm for identifying
attacks over the network. Therefore, the project proposes a
security system called a self-monitoring system to detect
insider attacks at the SC level using data mining andforensic
techniques. The system can identify the user's forensic
characteristics by analyzing the corresponding SC to
improve the accuracy of attack detection, and port IIPS to
parallel systems to further reduce detection responsetimes.
An intrusion detection system is a device or software
application that monitors your network or system for
malicious activity or policy violations.
Intrusion activities orbreachesareusually reported
to the administrator or centrally logged using security
information and incident management systems. Intrusion
detection systems are the older of the two systems,
identifying and logging violations, sending alerts to
administrators, and with SIEM (Security Information and
Event Management). Used offline or out of bandwidth to
report violations to a central repository called.
2. LITERATURE SURVEY
Analysis of log files for post-intruder detection. Author:
K.A. Garcia, R. Monroy, L. A. Trejo and C. Mex Perella. When
an exploit occurs, personnel must analyze the compromised
IT system to see how the attacker gained access and then
what they did. This detection usually indicates that an
attacker has launched an attack that exploits a flaw in the
system. For certain protocols, running such an exploit, if
present, is of great value to the security of the computer.This
can be due to both speeding up the way exploit evidence is
collected and helping to take action to prevent another
exploit. For example, you can design and deploy appropriate
attack signatures to maintain your intrusion detection
system. This task, called intrusion detection, is very difficult
because the length of the problem is overwhelming and it is
difficult to pinpoint where the exploit occurred. This study
provides an approach to intrusion detection that eliminates
repetitive behavior and accelerates strategies for detecting
the execution of intrusions. The classifier that distinguishes
between normal and abnormal behavior can be the heart of
an intrusion detection system. This classifier is created by
mixing hidden Markov models with k-means. Our
experimental resultsshowthatourmethodcandetectexploit
execution with a cumulative detection rate of over 90.
Accelerates profile events for normal system operation.
Intrusion detection and protection system using data mining
and forensic technology
Author:FangYieLeu,KunLinTsai,YiTingHsiao,Chao
Tung Yang * Key Policy Attribute Based Encryption (KPABE)
Author: 1. Parmar Vipul Kumar 2. Victor Shoup Description:
Currently, most computer systems have a user ID in thelogin
pattern. Authenticateusers using passwordsandpasswords.
However, this pattern is one of the weakest points in overall
computer security,as many people share their loginpatterns
with their colleaguesand askthem to help withcollaborative
tasks. Insider attackers, or legitimate users attacking the
system internally, are difficult to detect because most
intrusion detection systems and firewalls detect and isolate
only malicious activity launched from outside the system. In
addition, some investigations suggest that examining the
system calls (SCs) executed by commands can identify these
actions and detect attacks more accurately. Attack patterns
are characteristic of attacks. As a result, the Intrusion
Detection and Protection System IIDPS is provided as a
security system that uses a processingandforensicapproach
to detect insider attacks at the SC level. IIDPS creates
personal user profiles to track user usage habits as forensic
characteristics and compares current computer usage
behavior with the patterns recorded in the account owner's
personal profile to allow legitimate logged-in users.
Determine if you are the account owner. The user
identification accuracy of IIDPS is 94.29 seconds, and test
data show that the protected system can be successfully and

2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 04 | Apr 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 3073
efficiently protected from internal threats. Title: Mouse
biometrics, gesture dynamics.
Author: 1. Bassam Sayed, 2. Issa Traore, 3. Isaac Woungang,
Mohammad S. Obidat. Description: Mouse Dynamics
Biometrics could be a behavioral biometrics technology that
extractsand analyzes thebehavioralcharacteristicsofmouse
data input devices as humans interact with graphical
programs for identification purposes. Most of the current
research analyzing mouse dynamics focuses on continuous
authentication or user re-authentication with promising
results. On the other hand, static authentication using mouse
dynamics (at login) seems to have some problems due to the
limited amount of information available. Can be reasonably
collected during such a process. Thisarticleintroducesanew
mouse dynamics analysis method that leverages mouse
gesturedynamicsforstaticauthentication.Scorethedetected
gestures using a neural network classifier with learning
vector quantization. We conducted an experimental
evaluation of the frameworkon 39 users andachievedafalse
acceptance rate of 5.26 and a false rejection rate of 4.59.
3. PROBLEM STATEMENT
Security is one of the serious problems in the computer
field, as attackers very commonly try to break into computer
systems and act maliciously to authenticate users. To solve
this problem, we propose a security system called "SMS", a
Self Monitoring system. Detects maliciousbehaviorlaunched
against the system.
4. SYSTEM MODEL
Step 1: User U logs on to the system.
Step 2: SMS system S authenticates user U by sending an
OTP to the user email Confirm the user.
Step 3: U does some activities such as B. Connect the USB
device and copy a part Content from one locationtoanother,
installing new software, etc. can be activities
Malicious activity. A system-generated call, SC (system call)
is always a monitor User activity d from user history details.
H. logfile.
Step 4: The SMS system filters user log files. H. User activity
from the attack list A With the help of detection server D.
Step 5: System S reports the activity of the malicious user by
taking a snapshot of the activity.
At the time these activities take place. Output: The system
detects malicious code User activity.
Fig. System Model
5. METHODOLOGY
Intrusion is a way of a person penetratethesafetyof
the gadget with our permission. Internal IntrusionDetection
System (IIDS) can stumble on the unlawful sportscompleted
with the aid of using the Intruders and may record to the
better authorities. An IIDS works with the aid of using
tracking gadget interest thru analyzing vulnerabilities
withinside the gadget, the integrity of documents and
undertaking an evaluation of styles primarily based totally
on already recognised attacks. IIDS is a fixed of strategies
and strategies to stumble on the unlawful sports in System
level. Proposed a protection gadget, named the Internal
Intrusion Detection System (IIDS) at gadget name level,
which creates private profiles for customers to maintain
tune in their utilization conduct because the forensic
features. Nowadays, to secure protect the corporation from
A digital asset, Intrusion Detection System (IIDS) is vital
requirement. To decide whether or not the site visitors is
malicious or now no longer Intrusion detection is a method
of reveal and analyzes the site visitors on a device. It may be
a software program or bodily equipment that video display
units the site visitors which violates corporation protection
guidelines and trendy protection practices. To stumble on
the intrusion and reply in well timed way as an end result
danger of intrusions is dwindled it constantly watches the
site visitors. Based at the deployment IIDS. Host-primarily
based totally Intrusion Detection System is configuredatthe
precise gadget. It contineuously video display units and
analyzes the sports the gadget in which its configured.
Whenever an intrusion is detected IIDS triggers an alert.For
instance, whileanattackerattemptstocreate/modify/delete
key gadget documents alert may be generated.

3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 04 | Apr 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 3074
Step 1: User U logs on to the system. U = f U1, U2Ung.
Step 2: IIDS system S sends OTP to user mail to authenticate
user U and Confirm the user.
Step 3: U does some activities such as B. Connect the USB
device and copy a part Content from one locationtoanother,
installing new software, etc. can be activities Malicious
activity. A system-generated call, i.e H. SC (system call) is
always a monitor User activity d from user history details.H.
logfile.
Step 4: The SMS system filters user log files. H. User activity
from attack list A With the help of Discovery Server D.
Step 5: System S reports the activity of the malicious user
by taking a snapshot of the activity. At the time these
activities take place. Output: The system detects malicious
code User activity.
6. CONCLUSION
According to research on various proposed
techniques Here's how to detect authors and intruders.
Conclusions that can be drawn from the above system Is
paper and has accuracy and recognition rate Maximize the
technology we Implemented up to 90.12%. Improves
accuracy and detection rate by up to 90%.
7.REFERENCES
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A Novel Self-Evolving Multi-Agent Architecture for Power
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